LANEKEEPING WITH SHARED CONTROL

Size: px
Start display at page:

Download "LANEKEEPING WITH SHARED CONTROL"

Transcription

1 MDYNAMIX AFFILIATED INSTITUTE OF MUNICH UNIVERSITY OF APPLIED SCIENCES LANEKEEPING WITH SHARED CONTROL WHICH ISSUES HAVE TO BE RESEARCHED? 3rd International Symposium on Advanced Vehicle Technology 1

2 OUTLINE State of the art Why do we need it? Pitfalls! Disadvantages/Dangers it might bring Challenges and potentials Summary and outlook 2

3 STATE OF THE ART [1] Shared Control Situation, where human and machine carry out a task simultaneously. 3

4 STATE OF THE ART Classification Type 1 Type 2 Corrective steering intervention Guidance towards lane center e.g. Ford Focus e.g. BMW 5 series Safety-orientated Comfort-orientated Assisted Torque Lenkunterstützung Lane Boundary Fahrstreifen begrenzung Fahrstreifen Lane mitte Center Lane Boundary Fahrstreifen begrenzung [2] 4

5 STATE OF THE ART Classification Steer-by-Angle and Steer-by-Torque: High lateral guidance performances Better reference- and disturbance reactions obtained with SbA SbA disturbance reaction with higher, but less oscillatory jerk values SbT reference reaction with lower rack assist force amplitudes 5

6 WHY DO WE NEED IT? ADVANTAGES IT BRINGS Pros vs Fully Manual Systems More accurate path tracking Reduced control activity Reduced workload vs Fully Automated Systems Drivers stay in-the-loop Better situational awareness 6

7 PITFALLS! DISADVANTAGES/DANGERS IT MIGHT BRING Cons Disengagement of shared control Misinformation, malfunction Who has authority? Human-machine conflict Overreliance and complacency Rely upon supplementary information Skill loss Ignore visual feedback Over-corrective behavior [3] 7

8 1. Detection of departure intention? Drowsy? Intended? [1] 8

9 1. Detection of departure intention [9] Indicator Algorithms Additional sensors 9

10 2. Interaction between driver and assistant system Requirements on Manual control interface Continuous, direct control Certain manual skills Requirements on Automation interface Discrete input Certain analytical and decision-making skills Requirements on shared control interface? What? Goal and intent Direction and magnitude How? Collaborative Information-rich Negotiation of authority Bidirectional 10

11 2. Interaction between driver and assistant system [1] Sensory channels of communication 11

12 2. Interaction between driver and assistant system Combined? Visual? Fast but distractive Auditory? Vigilant but easily affected Haptic? Direct but confusing 12

13 3. Support strategies MM HH Center Guidance Edge Guidance MM HH Continuous support Support as needed 13

14 3. Support strategies Goal of the system? Relief - Reduce workload and control effort? higher level of automation Extension - Avoid dangers in emergency situations? watch out for the after-effect of assistant systems 14

15 4. Harmony of intervention Requirements on the intervention Adequate correction torque Minimally invasive manner Not too frequent corrections No abrupt/jerky intervention Possible consequences: Counter-corrective action of driver Increased physical/mental effort How to standardize/measure? Subjective assessment? Objective measurement? Steering angle velocity Steering angle acceleration Steering torque gradient Derived Key Performance Indicators (KPIs)? 15

16 5. Ability of adaption How can the system adapt to different Various range of drivers drivers? AI, deep learning, big data... Driver selection? Who should adapt? Assistant system? Driver? 16

17 6. Limit of the assistant system Max. assisted torque: 3 Nm Influencing factors: Steering wheel radius Power assist... New ways to specify the system limits? 17

18 7. Hands off detection Definition of hands on Algorithms Additional sensors 18

19 SUMMARY AND OUTLOOK Goal of LKAS? Watch out for the potential dangers Further research directions? Standardization or more freedom for possibilities? What can we learn from other assistant systems? 19

20 MDYNAMIX AFFILIATED INSTITUTE OF MUNICH UNIVERSITY OF APPLIED SCIENCES Contact Information MdynamiX AG Address: Hessstraße 89, München Tel: Fax: Mail: Web: The rights of use of the images contained in the file belong to MdynamiX AG and may not be used in any other way or made available to third parties!

21 SOURCES [1] Flemisch, Frank et al. (2008), COOPERATIVE CONTROL AND ACTIVE INTERFACES FOR VEHICLE ASSISTANCE AND AUTOMATION, FISITA 2008, F [2] Winner, Hermann et al. (2015), Handbuch Fahrerassistenzsysteme [3] J.C.F. de Winter et al. (2011), Preparing drivers for dangerous situations - A critical reflection on continuous shared control, 2011 IEEE International Conference on Systems, Man, and Cybernetics [9] Junyung Lee et al. (2013), Lane-keeping assistance control algorithm using differential braking to prevent unintended lane departures, Control Engineering Practice 23 (2014)

"This powerpoint presentation is property of David Abbink and Delft University of Technology. No part of this publication may be reproduced, stored

This powerpoint presentation is property of David Abbink and Delft University of Technology. No part of this publication may be reproduced, stored "This powerpoint presentation is property of David Abbink and Delft University of Technology. No part of this publication may be reproduced, stored in other retrieval systems or transmitted in any form

More information

WB2306 The Human Controller

WB2306 The Human Controller Simulation WB2306 The Human Controller Class 1. General Introduction Adapt the device to the human, not the human to the device! Teacher: David ABBINK Assistant professor at Delft Haptics Lab (www.delfthapticslab.nl)

More information

HUMAN FACTORS IN VEHICLE AUTOMATION

HUMAN FACTORS IN VEHICLE AUTOMATION Emma Johansson HUMAN FACTORS IN VEHICLE AUTOMATION - Activities in the European project AdaptIVe Vehicle and Road Automation (VRA) Webinar 10 October 2014 // Outline AdaptIVe short overview Collaborative

More information

Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System

Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System By Dr. Kai Franke, Development Online Driver Assistance Systems, Volkswagen AG 10 Engineering Reality Magazine A

More information

ADAS Development using Advanced Real-Time All-in-the-Loop Simulators. Roberto De Vecchi VI-grade Enrico Busto - AddFor

ADAS Development using Advanced Real-Time All-in-the-Loop Simulators. Roberto De Vecchi VI-grade Enrico Busto - AddFor ADAS Development using Advanced Real-Time All-in-the-Loop Simulators Roberto De Vecchi VI-grade Enrico Busto - AddFor The Scenario The introduction of ADAS and AV has created completely new challenges

More information

EVALUATION OF DIFFERENT MODALITIES FOR THE INTELLIGENT COOPERATIVE INTERSECTION SAFETY SYSTEM (IRIS) AND SPEED LIMIT SYSTEM

EVALUATION OF DIFFERENT MODALITIES FOR THE INTELLIGENT COOPERATIVE INTERSECTION SAFETY SYSTEM (IRIS) AND SPEED LIMIT SYSTEM Effects of ITS on drivers behaviour and interaction with the systems EVALUATION OF DIFFERENT MODALITIES FOR THE INTELLIGENT COOPERATIVE INTERSECTION SAFETY SYSTEM (IRIS) AND SPEED LIMIT SYSTEM Ellen S.

More information

Humans and Automated Driving Systems

Humans and Automated Driving Systems Innovation of Automated Driving for Universal Services (SIP-adus) Humans and Automated Driving Systems November 18, 2014 Kiyozumi Unoura Chief Engineer Honda R&D Co., Ltd. Automobile R&D Center Workshop

More information

Perceptual Overlays for Teaching Advanced Driving Skills

Perceptual Overlays for Teaching Advanced Driving Skills Perceptual Overlays for Teaching Advanced Driving Skills Brent Gillespie Micah Steele ARC Conference May 24, 2000 5/21/00 1 Outline 1. Haptics in the Driver-Vehicle Interface 2. Perceptual Overlays for

More information

KNOW & FEEL. Enhance your interdisciplinary system knowledge and feel the implementation of objective criteria in the vehicle.

KNOW & FEEL. Enhance your interdisciplinary system knowledge and feel the implementation of objective criteria in the vehicle. FOR ADAS KNOW & FEEL Enhance your interdisciplinary system knowledge and feel the implementation of objective criteria in the vehicle. Develop Advanced Driver Assistance Systems that will delight your

More information

Minimizing Distraction While Adding Features

Minimizing Distraction While Adding Features Minimizing Distraction While Adding Features Lisa Southwick, UX Manager Hyundai American Technical Center, Inc. Agenda Distracted Driving Advanced Driver Assistance Systems (ADAS) ADAS User Experience

More information

The SPE Foundation through member donations and a contribution from Offshore Europe

The SPE Foundation through member donations and a contribution from Offshore Europe Primary funding is provided by The SPE Foundation through member donations and a contribution from Offshore Europe The Society is grateful to those companies that allow their professionals to serve as

More information

Last Time: Acting Humanly: The Full Turing Test

Last Time: Acting Humanly: The Full Turing Test Last Time: Acting Humanly: The Full Turing Test Alan Turing's 1950 article Computing Machinery and Intelligence discussed conditions for considering a machine to be intelligent Can machines think? Can

More information

MEM380 Applied Autonomous Robots I Winter Feedback Control USARSim

MEM380 Applied Autonomous Robots I Winter Feedback Control USARSim MEM380 Applied Autonomous Robots I Winter 2011 Feedback Control USARSim Transforming Accelerations into Position Estimates In a perfect world It s not a perfect world. We have noise and bias in our acceleration

More information

HAVEit Highly Automated Vehicles for Intelligent Transport

HAVEit Highly Automated Vehicles for Intelligent Transport HAVEit Highly Automated Vehicles for Intelligent Transport Holger Zeng Project Manager CONTINENTAL AUTOMOTIVE HAVEit General Information Project full title: Highly Automated Vehicles for Intelligent Transport

More information

Key-Words: - Neural Networks, Cerebellum, Cerebellar Model Articulation Controller (CMAC), Auto-pilot

Key-Words: - Neural Networks, Cerebellum, Cerebellar Model Articulation Controller (CMAC), Auto-pilot erebellum Based ar Auto-Pilot System B. HSIEH,.QUEK and A.WAHAB Intelligent Systems Laboratory, School of omputer Engineering Nanyang Technological University, Blk N4 #2A-32 Nanyang Avenue, Singapore 639798

More information

Early Take-Over Preparation in Stereoscopic 3D

Early Take-Over Preparation in Stereoscopic 3D Adjunct Proceedings of the 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 18), September 23 25, 2018, Toronto, Canada. Early Take-Over

More information

Outline. Agents and environments Rationality PEAS (Performance measure, Environment, Actuators, Sensors) Environment types Agent types

Outline. Agents and environments Rationality PEAS (Performance measure, Environment, Actuators, Sensors) Environment types Agent types Intelligent Agents Outline Agents and environments Rationality PEAS (Performance measure, Environment, Actuators, Sensors) Environment types Agent types Agents An agent is anything that can be viewed as

More information

Development of Gaze Detection Technology toward Driver's State Estimation

Development of Gaze Detection Technology toward Driver's State Estimation Development of Gaze Detection Technology toward Driver's State Estimation Naoyuki OKADA Akira SUGIE Itsuki HAMAUE Minoru FUJIOKA Susumu YAMAMOTO Abstract In recent years, the development of advanced safety

More information

EUROPEAN COMMISSION DG RESEARCH

EUROPEAN COMMISSION DG RESEARCH EUROPEAN COMMISSION DG RESEARCH SIXTH FRAMEWORK PROGRAMME THEMATIC PRIORITY 1.6 SUSTAINABLE DEVELOPMENT, GLOBAL CHANGE & ECOSYSTEMS INTEGRATED PROJECT CONTRACT N. 031315 Human Factors aspects in automated

More information

Highly automated driving InteractIVe Summerschool Tobias Hesse & Anna Schieben. German Aerospace Center, Institute of Transportation Systems

Highly automated driving InteractIVe Summerschool Tobias Hesse & Anna Schieben. German Aerospace Center, Institute of Transportation Systems Highly automated driving InteractIVe Summerschool 2012 Tobias Hesse & Anna Schieben German Aerospace Center, Institute of Transportation Systems Highly automated driving > InteractIVe Summerschool 4.-6.

More information

Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning

Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning Dr. Andreas Kuhn A N D A T A München, 2017-06-27 2 Fields of Competence Artificial Intelligence Data Mining Big

More information

23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS. Sergii Bykov Technical Lead Machine Learning 12 Oct 2017

23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS. Sergii Bykov Technical Lead Machine Learning 12 Oct 2017 23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS Sergii Bykov Technical Lead Machine Learning 12 Oct 2017 Product Vision Company Introduction Apostera GmbH with headquarter in Munich, was

More information

Closed-Loop Transportation Simulation. Outlines

Closed-Loop Transportation Simulation. Outlines Closed-Loop Transportation Simulation Deyang Zhao Mentor: Unnati Ojha PI: Dr. Mo-Yuen Chow Aug. 4, 2010 Outlines 1 Project Backgrounds 2 Objectives 3 Hardware & Software 4 5 Conclusions 1 Project Background

More information

Introduction to Computer Science

Introduction to Computer Science Introduction to Computer Science CSCI 109 Andrew Goodney Fall 2017 China Tianhe-2 Robotics Nov. 20, 2017 Schedule 1 Robotics ì Acting on the physical world 2 What is robotics? uthe study of the intelligent

More information

Chapter 2 Introduction to Haptics 2.1 Definition of Haptics

Chapter 2 Introduction to Haptics 2.1 Definition of Haptics Chapter 2 Introduction to Haptics 2.1 Definition of Haptics The word haptic originates from the Greek verb hapto to touch and therefore refers to the ability to touch and manipulate objects. The haptic

More information

Multi-Modality Fidelity in a Fixed-Base- Fully Interactive Driving Simulator

Multi-Modality Fidelity in a Fixed-Base- Fully Interactive Driving Simulator Multi-Modality Fidelity in a Fixed-Base- Fully Interactive Driving Simulator Daniel M. Dulaski 1 and David A. Noyce 2 1. University of Massachusetts Amherst 219 Marston Hall Amherst, Massachusetts 01003

More information

Traffic Control for a Swarm of Robots: Avoiding Group Conflicts

Traffic Control for a Swarm of Robots: Avoiding Group Conflicts Traffic Control for a Swarm of Robots: Avoiding Group Conflicts Leandro Soriano Marcolino and Luiz Chaimowicz Abstract A very common problem in the navigation of robotic swarms is when groups of robots

More information

Automatic Control Systems

Automatic Control Systems Automatic Control Systems Lecture-1 Basic Concepts of Classical control Emam Fathy Department of Electrical and Control Engineering email: emfmz@yahoo.com 1 What is Control System? A system Controlling

More information

DC motor control using arduino

DC motor control using arduino DC motor control using arduino 1) Introduction: First we need to differentiate between DC motor and DC generator and where we can use it in this experiment. What is the main different between the DC-motor,

More information

The Effects of Lead Time of Take-Over Request and Non-Driving Tasks on Taking- Over Control of Automated Vehicles

The Effects of Lead Time of Take-Over Request and Non-Driving Tasks on Taking- Over Control of Automated Vehicles The Effects of Lead Time of Take-Over Request and Non-Driving Tasks on Taking- Over Control of Automated Vehicles Jingyan Wan and Changxu Wu Abstract Automated vehicles have received great attention, since

More information

CISC 1600 Lecture 3.4 Agent-based programming

CISC 1600 Lecture 3.4 Agent-based programming CISC 1600 Lecture 3.4 Agent-based programming Topics: Agents and environments Rationality Performance, Environment, Actuators, Sensors Four basic types of agents Multi-agent systems NetLogo Agents interact

More information

PerSec. Pervasive Computing and Security Lab. Enabling Transportation Safety Services Using Mobile Devices

PerSec. Pervasive Computing and Security Lab. Enabling Transportation Safety Services Using Mobile Devices PerSec Pervasive Computing and Security Lab Enabling Transportation Safety Services Using Mobile Devices Jie Yang Department of Computer Science Florida State University Oct. 17, 2017 CIS 5935 Introduction

More information

Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence

Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence Ata KHAN Civil and Environmental Engineering, Carleton University Ottawa, Ontario,

More information

Knowledge-based Reconfiguration of Driving Styles for Intelligent Transport Systems

Knowledge-based Reconfiguration of Driving Styles for Intelligent Transport Systems Knowledge-based Reconfiguration of Driving Styles for Intelligent Transport Systems Lecturer, Informatics and Telematics department Harokopion University of Athens GREECE e-mail: gdimitra@hua.gr International

More information

STAGES-IBM RTC INTERFACE IN PRACTICE MICHAEL NERKAMP ROBERT BOSCH GMBH STAGES INSIGHTS, MARCH 14 TH 2018

STAGES-IBM RTC INTERFACE IN PRACTICE MICHAEL NERKAMP ROBERT BOSCH GMBH STAGES INSIGHTS, MARCH 14 TH 2018 STAGES-IBM RTC INTERFACE IN PRACTICE MICHAEL NERKAMP ROBERT BOSCH GMBH STAGES INSIGHTS, MARCH 14 TH 2018 Michael Nerkamp Member of Engineering Process Group in Chassis Systems Control (CC) Development

More information

CHASSIS DYNAMOMETER TORQUE CONTROL SYSTEM DESIGN BY DIRECT INVERSE COMPENSATION. C.Matthews, P.Dickinson, A.T.Shenton

CHASSIS DYNAMOMETER TORQUE CONTROL SYSTEM DESIGN BY DIRECT INVERSE COMPENSATION. C.Matthews, P.Dickinson, A.T.Shenton CHASSIS DYNAMOMETER TORQUE CONTROL SYSTEM DESIGN BY DIRECT INVERSE COMPENSATION C.Matthews, P.Dickinson, A.T.Shenton Department of Engineering, The University of Liverpool, Liverpool L69 3GH, UK Abstract:

More information

Automated Testing of Autonomous Driving Assistance Systems

Automated Testing of Autonomous Driving Assistance Systems Automated Testing of Autonomous Driving Assistance Systems Lionel Briand Vector Testing Symposium, Stuttgart, 2018 SnT Centre Top level research in Information & Communication Technologies Created to fuel

More information

Run-time Power Control Scheme Using Software Feedback Loop for Low-Power Real-time Applications

Run-time Power Control Scheme Using Software Feedback Loop for Low-Power Real-time Applications Run-time Power Control Scheme Using Software Feedback Loop for Low-Power Real-time Applications Seongsoo Lee Takayasu Sakurai Center for Collaborative Research and Institute of Industrial Science, University

More information

Hello, and welcome to this presentation of the FlexTimer or FTM module for Kinetis K series MCUs. In this session, you ll learn about the FTM, its

Hello, and welcome to this presentation of the FlexTimer or FTM module for Kinetis K series MCUs. In this session, you ll learn about the FTM, its Hello, and welcome to this presentation of the FlexTimer or FTM module for Kinetis K series MCUs. In this session, you ll learn about the FTM, its main features and the application benefits of leveraging

More information

A NOVEL CONTROL SYSTEM FOR ROBOTIC DEVICES

A NOVEL CONTROL SYSTEM FOR ROBOTIC DEVICES A NOVEL CONTROL SYSTEM FOR ROBOTIC DEVICES THAIR A. SALIH, OMAR IBRAHIM YEHEA COMPUTER DEPT. TECHNICAL COLLEGE/ MOSUL EMAIL: ENG_OMAR87@YAHOO.COM, THAIRALI59@YAHOO.COM ABSTRACT It is difficult to find

More information

2. Introduction to Computer Haptics

2. Introduction to Computer Haptics 2. Introduction to Computer Haptics Seungmoon Choi, Ph.D. Assistant Professor Dept. of Computer Science and Engineering POSTECH Outline Basics of Force-Feedback Haptic Interfaces Introduction to Computer

More information

Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed

Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed AUTOMOTIVE Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed Yoshiaki HAYASHI*, Izumi MEMEZAWA, Takuji KANTOU, Shingo OHASHI, and Koichi TAKAYAMA ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

More information

Research & Advanced Engineering Ford Motor Company Europe

Research & Advanced Engineering Ford Motor Company Europe Research & Advanced Engineering Ford Motor Company Europe DGQ Fachtagung 56 th EOQ Congress FQS Forschungstagung Walter Masing Award 2012: Metrological System for Perceived Quality Parameters to Establish

More information

Revision of the EU General Safety Regulation and Pedestrian Safety Regulation

Revision of the EU General Safety Regulation and Pedestrian Safety Regulation AC.nl Revision of the EU General Safety Regulation and Pedestrian Safety Regulation 11 September 2018 ETSC isafer Fitting safety as standard Directorate-General for Internal Market, Automotive and Mobility

More information

A Winning Combination

A Winning Combination A Winning Combination Risk factors Statements in this presentation that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such

More information

ARGUING THE SAFETY OF MACHINE LEARNING FOR HIGHLY AUTOMATED DRIVING USING ASSURANCE CASES LYDIA GAUERHOF BOSCH CORPORATE RESEARCH

ARGUING THE SAFETY OF MACHINE LEARNING FOR HIGHLY AUTOMATED DRIVING USING ASSURANCE CASES LYDIA GAUERHOF BOSCH CORPORATE RESEARCH ARGUING THE SAFETY OF MACHINE LEARNING FOR HIGHLY AUTOMATED DRIVING USING ASSURANCE CASES 14.12.2017 LYDIA GAUERHOF BOSCH CORPORATE RESEARCH Arguing Safety of Machine Learning for Highly Automated Driving

More information

Human Factors Studies for Limited- Ability Autonomous Driving Systems (LAADS)

Human Factors Studies for Limited- Ability Autonomous Driving Systems (LAADS) Human Factors Studies for Limited- Ability Autonomous Driving Systems (LAADS) Glenn Widmann; Delphi Automotive Systems Jeremy Salinger; General Motors Robert Dufour; Delphi Automotive Systems Charles Green;

More information

Definition, Effects and Nature of Distracted Driving Worksheet 9.1

Definition, Effects and Nature of Distracted Driving Worksheet 9.1 Definition, Effects and Nature of Distracted Driving Worksheet 9.1 Am I Distracted? Self-Assessment Quiz Take this quiz from the National Road Safety Foundation to determine if you or someone you know

More information

Artificial Intelligence and Robotics Getting More Human

Artificial Intelligence and Robotics Getting More Human Weekly Barometer 25 janvier 2012 Artificial Intelligence and Robotics Getting More Human July 2017 ATONRÂ PARTNERS SA 12, Rue Pierre Fatio 1204 GENEVA SWITZERLAND - Tel: + 41 22 310 15 01 http://www.atonra.ch

More information

ADVANCED ENERGY VEHICLE DESIGN PROJECT. AEV Lab Guidelines

ADVANCED ENERGY VEHICLE DESIGN PROJECT. AEV Lab Guidelines THE OHIO STATE UNIVERSITY ENGINEERING EDUCATION INNOVATION CENTER 2 Hitchcock Hall, 27 Neil Avenue, Columbus, OH 21 First-Year Engineering Program: ADVANCED ENERGY VEHICLE DESIGN PROJECT AEV Rev. 8221

More information

TEACHING HAPTIC RENDERING SONNY CHAN, STANFORD UNIVERSITY

TEACHING HAPTIC RENDERING SONNY CHAN, STANFORD UNIVERSITY TEACHING HAPTIC RENDERING SONNY CHAN, STANFORD UNIVERSITY MARCH 4, 2012 HAPTICS SYMPOSIUM Overview A brief introduction to CS 277 @ Stanford Core topics in haptic rendering Use of the CHAI3D framework

More information

Positioning Challenges in Cooperative Vehicular Safety Systems

Positioning Challenges in Cooperative Vehicular Safety Systems Positioning Challenges in Cooperative Vehicular Safety Systems Dr. Luca Delgrossi Mercedes-Benz Research & Development North America, Inc. October 15, 2009 Positioning for Automotive Navigation Personal

More information

Nonlinear Control Lecture

Nonlinear Control Lecture Nonlinear Control Lecture Just what constitutes nonlinear control? Control systems whose behavior cannot be analyzed by linear control theory. All systems contain some nonlinearities, most are small and

More information

Connected Car Networking

Connected Car Networking Connected Car Networking Teng Yang, Francis Wolff and Christos Papachristou Electrical Engineering and Computer Science Case Western Reserve University Cleveland, Ohio Outline Motivation Connected Car

More information

C-ITS Platform WG9: Implementation issues Topic: Road Safety Issues 1 st Meeting: 3rd December 2014, 09:00 13:00. Draft Agenda

C-ITS Platform WG9: Implementation issues Topic: Road Safety Issues 1 st Meeting: 3rd December 2014, 09:00 13:00. Draft Agenda C-ITS Platform WG9: Implementation issues Topic: Road Safety Issues 1 st Meeting: 3rd December 2014, 09:00 13:00 Venue: Rue Philippe Le Bon 3, Room 2/17 (Metro Maalbek) Draft Agenda 1. Welcome & Presentations

More information

Robotesting: Are you ready for that yet?

Robotesting: Are you ready for that yet? Robotesting: Are you ready for that yet? Testing of robots Testing with robots Rik Marselis October 2017 Who has a robot? In 10 years all of you will!! Sogeti 2017 2 Sogeti 2017 Page 1 1980 Workgroup -member

More information

Real Time and Non-intrusive Driver Fatigue Monitoring

Real Time and Non-intrusive Driver Fatigue Monitoring Real Time and Non-intrusive Driver Fatigue Monitoring Qiang Ji and Zhiwei Zhu jiq@rpi rpi.edu Intelligent Systems Lab Rensselaer Polytechnic Institute (RPI) Supported by AFOSR and Honda Introduction Motivation:

More information

Chapter 1: Introduction to Control Systems Objectives

Chapter 1: Introduction to Control Systems Objectives Chapter 1: Introduction to Control Systems Objectives In this chapter we describe a general process for designing a control system. A control system consisting of interconnected components is designed

More information

A New Systems-Theoretic Approach to Safety. Dr. John Thomas

A New Systems-Theoretic Approach to Safety. Dr. John Thomas A New Systems-Theoretic Approach to Safety Dr. John Thomas Outline Goals for a systemic approach Foundations New systems approaches to safety Systems-Theoretic Accident Model and Processes STPA (hazard

More information

Virtual Experiments as a Tool for Active Engagement

Virtual Experiments as a Tool for Active Engagement Virtual Experiments as a Tool for Active Engagement Lei Bao Stephen Stonebraker Gyoungho Lee Physics Education Research Group Department of Physics The Ohio State University Context Cues and Knowledge

More information

ROBOTICS, Jump to the next generation

ROBOTICS, Jump to the next generation ROBOTICS, Jump to the next generation Erich Lohrmann Area Director Latin America KUKA Roboter GmbH COPY RIGHTS by Erich Lohrmann Human Evolution Robotic Evolution (by KUKA) International Conference on

More information

Cognitive robots and emotional intelligence Cloud robotics Ethical, legal and social issues of robotic Construction robots Human activities in many

Cognitive robots and emotional intelligence Cloud robotics Ethical, legal and social issues of robotic Construction robots Human activities in many Preface The jubilee 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016 was held in the conference centre of the Best Western Hotel M, Belgrade, Serbia, from 30 June to 2 July

More information

Haptic Virtual Fixtures for Robot-Assisted Manipulation

Haptic Virtual Fixtures for Robot-Assisted Manipulation Haptic Virtual Fixtures for Robot-Assisted Manipulation Jake J. Abbott, Panadda Marayong, and Allison M. Okamura Department of Mechanical Engineering, The Johns Hopkins University {jake.abbott, pmarayong,

More information

William Milam Ford Motor Co

William Milam Ford Motor Co Sharing technology for a stronger America Verification Challenges in Automotive Embedded Systems William Milam Ford Motor Co Chair USCAR CPS Task Force 10/20/2011 What is USCAR? The United States Council

More information

Human Factors: Unknowns, Knowns and the Forgotten

Human Factors: Unknowns, Knowns and the Forgotten Human Factors: Unknowns, Knowns and the Forgotten Peter C. Burns Standards Research & Development, Motor Vehicle Safety Transport Canada 2018 SIP-adus Workshop: Human Factors 1 Outline Examples of bad

More information

Motion Control of a Three Active Wheeled Mobile Robot and Collision-Free Human Following Navigation in Outdoor Environment

Motion Control of a Three Active Wheeled Mobile Robot and Collision-Free Human Following Navigation in Outdoor Environment Proceedings of the International MultiConference of Engineers and Computer Scientists 2016 Vol I,, March 16-18, 2016, Hong Kong Motion Control of a Three Active Wheeled Mobile Robot and Collision-Free

More information

COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: MECHANICAL ENGINEERING

COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: MECHANICAL ENGINEERING COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: MECHANICAL ENGINEERING COURSE: MCE 527 DISCLAIMER The contents of this document are intended for practice and leaning purposes at the

More information

Autonomous Stair Climbing Algorithm for a Small Four-Tracked Robot

Autonomous Stair Climbing Algorithm for a Small Four-Tracked Robot Autonomous Stair Climbing Algorithm for a Small Four-Tracked Robot Quy-Hung Vu, Byeong-Sang Kim, Jae-Bok Song Korea University 1 Anam-dong, Seongbuk-gu, Seoul, Korea vuquyhungbk@yahoo.com, lovidia@korea.ac.kr,

More information

Stanford Center for AI Safety

Stanford Center for AI Safety Stanford Center for AI Safety Clark Barrett, David L. Dill, Mykel J. Kochenderfer, Dorsa Sadigh 1 Introduction Software-based systems play important roles in many areas of modern life, including manufacturing,

More information

Driver Assistance Systems (DAS)

Driver Assistance Systems (DAS) Driver Assistance Systems (DAS) Short Overview László Czúni University of Pannonia What is DAS? DAS: electronic systems helping the driving of a vehicle ADAS (advanced DAS): the collection of systems and

More information

A.I in Automotive? Why and When.

A.I in Automotive? Why and When. A.I in Automotive? Why and When. AGENDA 01 02 03 04 Definitions A.I? A.I in automotive Now? Next big A.I breakthrough in Automotive 01 DEFINITIONS DEFINITIONS Artificial Intelligence Artificial Intelligence:

More information

Where: (J LM ) is the load inertia referred to the motor shaft. 8.0 CONSIDERATIONS FOR THE CONTROL OF DC MICROMOTORS. 8.

Where: (J LM ) is the load inertia referred to the motor shaft. 8.0 CONSIDERATIONS FOR THE CONTROL OF DC MICROMOTORS. 8. Where: (J LM ) is the load inertia referred to the motor shaft. 8.0 CONSIDERATIONS FOR THE CONTROL OF DC MICROMOTORS 8.1 General Comments Due to its inherent qualities the Escap micromotor is very suitable

More information

HAND-SHAPED INTERFACE FOR INTUITIVE HUMAN- ROBOT COMMUNICATION THROUGH HAPTIC MEDIA

HAND-SHAPED INTERFACE FOR INTUITIVE HUMAN- ROBOT COMMUNICATION THROUGH HAPTIC MEDIA HAND-SHAPED INTERFACE FOR INTUITIVE HUMAN- ROBOT COMMUNICATION THROUGH HAPTIC MEDIA RIKU HIKIJI AND SHUJI HASHIMOTO Department of Applied Physics, School of Science and Engineering, Waseda University 3-4-1

More information

FORCE FEEDBACK. Roope Raisamo

FORCE FEEDBACK. Roope Raisamo FORCE FEEDBACK Roope Raisamo Multimodal Interaction Research Group Tampere Unit for Computer Human Interaction Department of Computer Sciences University of Tampere, Finland Outline Force feedback interfaces

More information

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING BANGLADESH UNIVERSITY OF ENGINEERING & TECHNOLOGY EEE 402 : CONTROL SYSTEMS SESSIONAL

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING BANGLADESH UNIVERSITY OF ENGINEERING & TECHNOLOGY EEE 402 : CONTROL SYSTEMS SESSIONAL DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING BANGLADESH UNIVERSITY OF ENGINEERING & TECHNOLOGY EEE 402 : CONTROL SYSTEMS SESSIONAL Experiment No. 1(a) : Modeling of physical systems and study of

More information

Intelligent Agents p.1/25. Intelligent Agents. Chapter 2

Intelligent Agents p.1/25. Intelligent Agents. Chapter 2 Intelligent Agents p.1/25 Intelligent Agents Chapter 2 Intelligent Agents p.2/25 Outline Agents and environments Rationality PEAS (Performance measure, Environment, Actuators, Sensors) Environment types

More information

Driver Education Classroom and In-Car Curriculum Unit 3 Space Management System

Driver Education Classroom and In-Car Curriculum Unit 3 Space Management System Driver Education Classroom and In-Car Curriculum Unit 3 Space Management System Driver Education Classroom and In-Car Instruction Unit 3-2 Unit Introduction Unit 3 will introduce operator procedural and

More information

Applied Collaboration for the Virtualization of Roads and Customer Approval as Exemplified by a Brake Control System

Applied Collaboration for the Virtualization of Roads and Customer Approval as Exemplified by a Brake Control System Applied Collaboration for the Virtualization of Roads and Customer Approval as Exemplified by a Brake Control System Sven-Etienne Henschel, Rohan Deshetti Applied Collaboration for the Virtualization of

More information

SAfety VEhicles using adaptive Interface Technology (SAVE-IT): A Program Overview

SAfety VEhicles using adaptive Interface Technology (SAVE-IT): A Program Overview SAfety VEhicles using adaptive Interface Technology (SAVE-IT): A Program Overview SAVE-IT David W. Eby,, PhD University of Michigan Transportation Research Institute International Distracted Driving Conference

More information

Robotics II DESCRIPTION. EXAM INFORMATION Items

Robotics II DESCRIPTION. EXAM INFORMATION Items EXAM INFORMATION Items 37 Points 49 Prerequisites NONE Grade Level 10-12 Course Length ONE SEMESTER Career Cluster MANUFACTURING SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS Performance Standards

More information

IEEE Systems, Man, and Cybernetics Society s Perspectives and Brain-Related Technical Activities

IEEE Systems, Man, and Cybernetics Society s Perspectives and Brain-Related Technical Activities IEEE, Man, and Cybernetics Society s Perspectives and Brain-Related Technical Activities Michael H. Smith IEEE Brain Initiative New York City Three Broad Categories that Span IEEE Development of: novel

More information

Combining ROS and AI for fail-operational automated driving

Combining ROS and AI for fail-operational automated driving Combining ROS and AI for fail-operational automated driving Prof. Dr. Daniel Watzenig Virtual Vehicle Research Center, Graz, Austria and Institute of Automation and Control at Graz University of Technology

More information

Deliverable D1.6 Initial System Specifications Executive Summary

Deliverable D1.6 Initial System Specifications Executive Summary Deliverable D1.6 Initial System Specifications Executive Summary Version 1.0 Dissemination Project Coordination RE Ford Research and Advanced Engineering Europe Due Date 31.10.2010 Version Date 09.02.2011

More information

PATH PLANNING OF LINE FOLLOWER ROBOT

PATH PLANNING OF LINE FOLLOWER ROBOT Proceedings of the 5th European DSP Education and Research Conference, 2012 PATH PLANNING OF LINE FOLLOWER ROBOT Mustafa Engin 1, Dilşad Engin 2 B8 1 Ege Technical and Business College, Department Electronics

More information

Series 70 Servo NXT - Modulating Controller Installation, Operation and Maintenance Manual

Series 70 Servo NXT - Modulating Controller Installation, Operation and Maintenance Manual THE HIGH PERFORMANCE COMPANY Series 70 Hold 1 sec. Hold 1 sec. FOR MORE INFORMATION ON THIS PRODUCT AND OTHER BRAY PRODUCTS PLEASE VISIT OUR WEBSITE www.bray.com Table of Contents 1. Definition of Terms.........................................2

More information

Traffic Management for Smart Cities TNK115 SMART CITIES

Traffic Management for Smart Cities TNK115 SMART CITIES Traffic Management for Smart Cities TNK115 SMART CITIES DAVID GUNDLEGÅRD DIVISION OF COMMUNICATION AND TRANSPORT SYSTEMS Outline Introduction Traffic sensors Traffic models Frameworks Information VS Control

More information

Design of an Instrumented Vehicle Test Bed for Developing a Human Centered Driver Support System

Design of an Instrumented Vehicle Test Bed for Developing a Human Centered Driver Support System Design of an Instrumented Vehicle Test Bed for Developing a Human Centered Driver Support System Joel C. McCall, Ofer Achler, Mohan M. Trivedi jmccall@ucsd.edu, oachler@ucsd.edu, mtrivedi@ucsd.edu Computer

More information

Intelligent Technology for More Advanced Autonomous Driving

Intelligent Technology for More Advanced Autonomous Driving FEATURED ARTICLES Autonomous Driving Technology for Connected Cars Intelligent Technology for More Advanced Autonomous Driving Autonomous driving is recognized as an important technology for dealing with

More information

Road Boundary Estimation in Construction Sites Michael Darms, Matthias Komar, Dirk Waldbauer, Stefan Lüke

Road Boundary Estimation in Construction Sites Michael Darms, Matthias Komar, Dirk Waldbauer, Stefan Lüke Road Boundary Estimation in Construction Sites Michael Darms, Matthias Komar, Dirk Waldbauer, Stefan Lüke Lanes in Construction Sites Roadway is often bounded by elevated objects (e.g. guidance walls)

More information

Development & Simulation of a Test Environment for Vehicle Dynamics a Virtual Test Track Layout.

Development & Simulation of a Test Environment for Vehicle Dynamics a Virtual Test Track Layout. Development & Simulation of a Test Environment for Vehicle Dynamics a Virtual Test Track Layout. PhD.C. -Eng. Kmeid Saad 1 1 Introduction... 2 2 Vehicle Dynamic Libraries... 3 3 Virtual Driver... 3 4 ROAD...

More information

Embracing Complexity. Gavin Walker Development Manager

Embracing Complexity. Gavin Walker Development Manager Embracing Complexity Gavin Walker Development Manager 1 MATLAB and Simulink Proven Ability to Make the Complex Simpler 1970 Stanford Ph.D. thesis, with thousands of lines of Fortran code 2 MATLAB and Simulink

More information

Speed Control of DC Motor Using Fuzzy Logic Application

Speed Control of DC Motor Using Fuzzy Logic Application 2016 Published in 4th International Symposium on Innovative Technologies in Engineering and Science 3-5 November 2016 (ISITES2016 Alanya/Antalya - Turkey) Speed Control of DC Motor Using Fuzzy Logic Application

More information

Switch. Global Creative Partner

Switch. Global Creative Partner Switch Global Creative Partner 02 We will try our best to become a Global Leading Company DAESUNG DAESUNG Switch System Daesung Electric has been developing and producing switches, relays, and automotive

More information

HAPTICS AND AUTOMOTIVE HMI

HAPTICS AND AUTOMOTIVE HMI HAPTICS AND AUTOMOTIVE HMI Technology and trends report January 2018 EXECUTIVE SUMMARY The automotive industry is on the cusp of a perfect storm of trends driving radical design change. Mary Barra (CEO

More information

An Information Fusion Method for Vehicle Positioning System

An Information Fusion Method for Vehicle Positioning System An Information Fusion Method for Vehicle Positioning System Yi Yan, Che-Cheng Chang and Wun-Sheng Yao Abstract Vehicle positioning techniques have a broad application in advanced driver assistant system

More information

Glossary of terms. Short explanation

Glossary of terms. Short explanation Glossary Concept Module. Video Short explanation Abstraction 2.4 Capturing the essence of the behavior of interest (getting a model or representation) Action in the control Derivative 4.2 The control signal

More information

FAIL OPERATIONAL E/E SYSTEM CONCEPT FOR FUTURE APPLICATION IN ADAS AND AUTONOMOUS DRIVING

FAIL OPERATIONAL E/E SYSTEM CONCEPT FOR FUTURE APPLICATION IN ADAS AND AUTONOMOUS DRIVING FAIL OPERATIONAL E/E SYSTEM CONCEPT FOR FUTURE APPLICATION IN ADAS AND AUTONOMOUS DRIVING Fail Safe Fail Operational Fault Tolerance ISO 26262 Hermann Kränzle, TÜV NORD Systems OUR FUNCTIONAL SAFETY CERTIFIED

More information

HIT3002: Introduction to Artificial Intelligence

HIT3002: Introduction to Artificial Intelligence HIT3002: Introduction to Artificial Intelligence Intelligent Agents Outline Agents and environments. The vacuum-cleaner world The concept of rational behavior. Environments. Agent structure. Swinburne

More information

Agent. Pengju Ren. Institute of Artificial Intelligence and Robotics

Agent. Pengju Ren. Institute of Artificial Intelligence and Robotics Agent Pengju Ren Institute of Artificial Intelligence and Robotics pengjuren@xjtu.edu.cn 1 Review: What is AI? Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the

More information

1. Future Vision of Office Robot

1. Future Vision of Office Robot 1. Future Vision of Office Robot 1.1 What is Office Robot? (1) Office Robot is the reliable partner for humans Office Robot does not steal our jobs but support us, constructing Win-Win relationship toward

More information